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Valentin Debarnot

2 accepted papers

2023

FunkNN: Neural Interpolation for Functional Generation

ICLR 2023poster

Can we build continuous generative models which generalize across scales, can be evaluated at any coordinate, admit calculation of exact derivatives, and are conceptually simple? Existing MLP-based architectures generate worse samples than the grid-based generators with favorable convolutional induc…

2023

Joint Cryo-ET Alignment and Reconstruction with Neural Deformation Fields

ICASSP 2023accepted

We propose a framework to jointly determine the deformation parameters and reconstruct the unknown volume in electron cryotomography (CryoET). CryoET aims to reconstruct three-dimensional biological samples from two-dimensional projections. A major challenge is that we can only acquire projections f…

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